Two-dimensional fourier transform ion cyclotron resonance mass spectrometry

Pfändler, Peter; Bodenhausen, Geoffrey; Rapin, Jacques; Houriet, R.; Gäumann, Tino

doi:10.1016/0009-2614(87)80367-6

Cited by 87 publications

(95 citation statements)

References 20 publications

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“…2D FT-ICR MS development started in the 1980s [7,14], but it was hindered by insufficient computational capabilities: the acquisition of an individual transient for each increment of t 1 quickly produces large amounts of data, which were challenging for the computers of that time. With recent improvements in computer technology and the improvements in ion fragmentation techniques for FT-ICR MS, an interest to develop 2D FT-ICR MS into an efficient analytical method was renewed [13].…”

Section: Introductionmentioning

confidence: 99%

“…Two-Dimensional (2D) FT-ICR MS allows data-independent fragmentation of all ions in a sample and correlation of precursor and fragment ions without prior isolation [7][8][9][10]. This correlation is obtained through the modulation of precursor ions' cyclotron radii prior to fragmentation using a series of rf-pulses.…”

Section: Introductionmentioning

confidence: 99%

“…This correlation is obtained through the modulation of precursor ions' cyclotron radii prior to fragmentation using a series of rf-pulses. Pfandler et al developed the first pulse sequence used for 2D MS experiments [7,8]. A different pulse sequence called stored-waveform ion modulation (SWIM) was developed and applied by Ross et al [11] and by van der Rest and Marshall [12].…”

Section: Introductionmentioning

confidence: 99%

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2D FT-ICR MS of Calmodulin: A Top-Down and Bottom-Up Approach

Floris

Agthoven

Chiron³

et al. 2016

J. Am. Soc. Mass Spectrom.

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Abstract. Two-dimensional Fourier transform ion cyclotron resonance mass spectrometry (2D FT-ICR MS) allows data-independent fragmentation of all ions in a sample and correlation of fragment ions to their precursors through the modulation of precursor ion cyclotron radii prior to fragmentation. Previous results show that implementation of 2D FT-ICR MS with infrared multi-photon dissociation (IRMPD) and electron capture dissociation (ECD) has turned this method into a useful analytical tool. In this work, IRMPD tandem mass spectrometry of calmodulin (CaM) has been performed both in one-dimensional and two-dimensional FT-ICR MS using a top-down and bottom-up approach. 2D IRMPD FT-ICR MS is used to achieve extensive inter-residue bond cleavage and assignment for CaM, using its unique features for fragment identification in a less time-and sample-consuming experiment than doing the same thing using sequential MS/MS experiments.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

2D FT-ICR MS of Calmodulin: A Top-Down and Bottom-Up Approach

Floris

Agthoven

Chiron³

et al. 2016

J. Am. Soc. Mass Spectrom.

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“…FT-MS opens itself up to multidimensional techniques (34)(35)(36). Two-dimensional FT-ICR mass spectrometry was introduced as early as 1987 (34), but laboratory use of this promising technique has been hampered by the amount of data which needs to be stored and processed.…”

Section: Application To Ft-icr Ms Ft-ms Measures the Frequencies Ofmentioning

confidence: 99%

“…Two-dimensional FT-ICR mass spectrometry was introduced as early as 1987 (34), but laboratory use of this promising technique has been hampered by the amount of data which needs to be stored and processed. Only now, with the increased power of computers, can this technology prove its use in particular in proteomics or metabolomics (see ref.…”

Section: Application To Ft-icr Ms Ft-ms Measures the Frequencies Ofmentioning

confidence: 99%

Efficient denoising algorithms for large experimental datasets and their applications in Fourier transform ion cyclotron resonance mass spectrometry

Chiron¹,

Agthoven

Kieffer

et al. 2014

Proc. Natl. Acad. Sci. U.S.A.

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Modern scientific research produces datasets of increasing size and complexity that require dedicated numerical methods to be processed. In many cases, the analysis of spectroscopic data involves the denoising of raw data before any further processing. Current efficient denoising algorithms require the singular value decomposition of a matrix with a size that scales up as the square of the data length, preventing their use on very large datasets. Taking advantage of recent progress on random projection and probabilistic algorithms, we developed a simple and efficient method for the denoising of very large datasets. Based on the QR decomposition of a matrix randomly sampled from the data, this approach allows a gain of nearly three orders of magnitude in processing time compared with classical singular value decomposition denoising. This procedure, called urQRd (uncoiled random QR denoising), strongly reduces the computer memory footprint and allows the denoising algorithm to be applied to virtually unlimited data size. The efficiency of these numerical tools is demonstrated on experimental data from high-resolution broadband Fourier transform ion cyclotron resonance mass spectrometry, which has applications in proteomics and metabolomics. We show that robust denoising is achieved in 2D spectra whose interpretation is severely impaired by scintillation noise. These denoising procedures can be adapted to many other data analysis domains where the size and/or the processing time are crucial. big data | noise reduction | matrix rank reduction | FT-ICR MS

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Rapid Identification of Phenolics in Mixtures by Two‐Dimensional Tandem Mass Spectrometry with Microdroplet Accelerated Derivatization Reactions

Hu,

Dziekonski,

Wang

et al. 2024

Analysis & Sensing

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Complex mixtures are typically analyzed by chromatographic separation followed by mass spectrometry. Two‐dimensional tandem mass spectrometry (2D MS/MS) may eliminate the need for separation and therefore significantly reduce analysis time while expanding the information space by recording the intensities of all fragment ions generated from all trapped precursor ions. Additional chemical specificity can be provided by using chemical derivatization. In this study phenolic compounds are identified after triazole click derivatization by the observation of two diagnostic features in the 2D MS/MS data domain, a mass shift of 175 Da on the precursor ion axis and a neutral loss (NL) of 119 Da. Additional NL transitions were highly correlated with particular substituents including carbonyl, ester, amino, and alkyl/phenyl groups. Substituent position information was also easily diagnosed. The derivatization reactions are accelerated in the charged electrosprayed microdroplets. Using this method, members of this single class of compounds can be identified within 1–2 minutes while structural information on the individual compounds is acquired simultaneously.

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Two-dimensional fourier transform ion cyclotron resonance mass spectrometry

Cited by 87 publications

References 20 publications

2D FT-ICR MS of Calmodulin: A Top-Down and Bottom-Up Approach

2D FT-ICR MS of Calmodulin: A Top-Down and Bottom-Up Approach

Efficient denoising algorithms for large experimental datasets and their applications in Fourier transform ion cyclotron resonance mass spectrometry

Rapid Identification of Phenolics in Mixtures by Two‐Dimensional Tandem Mass Spectrometry with Microdroplet Accelerated Derivatization Reactions

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